DSpace Collection:https://dspace.lboro.ac.uk/2134/3111
Thu, 22 Feb 2018 07:06:49 GMT2018-02-22T07:06:49ZFour-state domestic occupancy modelhttps://dspace.lboro.ac.uk/2134/15726
Title: Four-state domestic occupancy model
Authors: McKenna, Eoghan; Thomson, Murray; Krawczynski, Michal
Abstract: This is an implementation of the model described in the paper "Four-state domestic building occupancy model for energy demand simulations" by Eoghan McKenna, Michal Krawczynski, and Murray Thomson available here http://dx.doi.org/10.1016/j.enbuild.2015.03.013. The latest version of the model can be found here https://dspace.lboro.ac.uk/2134/15726. The four states of occupancy are described in terms of a "combined state" variable consisting of a first binary variable describing the occupancy state (1 = “at home”, 0 = “not at home”) and a second binary variable describing the activity state (1 = “active”, 0 = “not active”). This model is an extension of the two-state Domestic Active Occupancy Model by Ian Richardson and Murray Thomson (available at https://dspace.lboro.ac.uk/2134/3112).
Description: This is a computer software model. This model is discussed in the journal article available at: https://dspace.lboro.ac.uk/2134/17106Wed, 01 Jan 2014 00:00:00 GMThttps://dspace.lboro.ac.uk/2134/157262014-01-01T00:00:00ZCable impedance datahttps://dspace.lboro.ac.uk/2134/15544
Title: Cable impedance data
Authors: Urquhart, Andrew J.; Thomson, Murray
Abstract: This dataset contains impedance data for low voltage electricity distribution cables. The data has been generated using a finite element modelling method based on the FEMM software package. The cable impedance data allows for the non-circular geometry of the sector-shaped conductors, and also takes into account induced eddy currents. Results are presented for 50 Hz and for harmonic frequencies up to 3 kHz. The impedance data provides the series impedance for six variants of Waveform cable, as follows: 3-core 95 mm², 3-core 185 mm², 3-core 300 mm² 4-core 95 mm², 4-core 185 mm², 4-core 300 mm² The dataset also includes details of the equations developed to describe the sector-shaped conductors, for use in entering the cable geometry into the FEMM software.
Description: This data is an annex to a paper Urquhart, A.J., Thomson, M.: ‘Series impedance of distribution cables with sector-shaped conductors’, IET Generation Transmission and Distribution, 2015, available online at http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0546 (and also on the repository at https://dspace.lboro.ac.uk/2134/18472); The latest version of the data and associated documentation was made available on 5th June 2015.Wed, 01 Jan 2014 00:00:00 GMThttps://dspace.lboro.ac.uk/2134/155442014-01-01T00:00:00ZElectricity System Balancing and Market (ESBM) modelhttps://dspace.lboro.ac.uk/2134/14810
Title: Electricity System Balancing and Market (ESBM) model
Authors: McKenna, Eoghan
Description: This is an Excel Workbook. A conference paper Impact of wind curtailment and storage on the Irish power system 2020 renewable electricity targets: a free open-source electricity system balancing and market (ESBM) model is available in the Institutional Repository at: https://dspace.lboro.ac.uk/2134/15962Wed, 01 Jan 2014 00:00:00 GMThttps://dspace.lboro.ac.uk/2134/148102014-01-01T00:00:00ZGoing with the wind: temporal characteristics of potential wind curtailment in Ireland in 2020 and opportunities for demand responsehttps://dspace.lboro.ac.uk/2134/13302
Title: Going with the wind: temporal characteristics of potential wind curtailment in Ireland in 2020 and opportunities for demand response
Authors: McKenna, Eoghan; Grunewald, Philipp; Thomson, Murray
Abstract: The Republic of Ireland and Northern Ireland have ambitious targets for 40% of electricity to be supplied by
renewables by 2020, with the majority expected to be supplied by wind power. There is, however, already a significant
amount of wind power being turned down, or ‘curtailed’, and this is expected to grow as wind penetrations increase. A
model-based approach is taken to estimate curtailment using high-resolution wind speed and demand data covering four
years, with a particular focus on the temporal characteristics of curtailment and factors that affect it. The model is validated
using actual wind output and curtailment data from 2011. The results for 2020 are consistent with previously published
estimates, and indicate curtailment levels ranging from 5.6 to 8.5% depending on assumptions examined in this study.
Curtailment is found to occur predominantly at night, and to exhibit stochastic variability related to wind output. To
accommodate high penetrations of wind power, the findings highlight the value of flexible demand over relatively long timeperiods.
The model’s output data have been made publicly available for free for further investigation.
Description: This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/ The dataset 'Wind curtailment estimates for Irish power system in 2020' accompanying the paper is also available to download with this record.Thu, 01 Jan 2015 00:00:00 GMThttps://dspace.lboro.ac.uk/2134/133022015-01-01T00:00:00Z